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» Polynomial Interpretations and the Complexity of Algorithms
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ALT
2007
Springer
16 years 3 months ago
Learning Kernel Perceptrons on Noisy Data Using Random Projections
In this paper, we address the issue of learning nonlinearly separable concepts with a kernel classifier in the situation where the data at hand are altered by a uniform classific...
Guillaume Stempfel, Liva Ralaivola
CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
16 years 23 days ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
ARITH
2007
IEEE
16 years 19 days ago
Worst Cases of a Periodic Function for Large Arguments
One considers the problem of finding hard to round cases of a periodic function for large floating-point inputs, more precisely when the function cannot be efficiently approxim...
Guillaume Hanrot, Vincent Lefèvre, Damien S...
ICDM
2005
IEEE
142views Data Mining» more  ICDM 2005»
15 years 12 months ago
Shortest-Path Kernels on Graphs
Data mining algorithms are facing the challenge to deal with an increasing number of complex objects. For graph data, a whole toolbox of data mining algorithms becomes available b...
Karsten M. Borgwardt, Hans-Peter Kriegel
APWEB
2004
Springer
15 years 11 months ago
Using Relational Database Constraints to Design Materialized Views in Data Warehouses
Queries to data warehouses often involve hundreds of complex aggregations over large volumes of data, and so it is infeasible to compute these queries by scanning the data sources ...
Taehee Lee, Jae-young Chang, Sang-goo Lee